guoqincode / Open-AnimateAnyone

Unofficial Implementation of Animate Anyone
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Seeing artefacts in generated images after 10000 steps #68

Closed Bismuth209 closed 8 months ago

Bismuth209 commented 8 months ago
image

Is this normal?

guoqincode commented 8 months ago

If in stage1, I think this is very abnormal.

Bismuth209 commented 8 months ago

what do you think might be the issue? I'm directly using train_hack.py on UBC images

guoqincode commented 8 months ago

Maybe you can overfit the training on a few videos first.

Bismuth209 commented 8 months ago

I'm getting same issues even on overfitting on a few images... like I trained for a few hours on 3 images and am still seeing same issues. is there any issue with the vae encoder decoder? I'm using clip-vit-base-patch32 for clip and the normal vae from stable diffusion 1.5

Bismuth209 commented 8 months ago

this is my config https://github.com/Bismuth209/AnimateAnyone-unofficial/blob/main/configs/training/v2/v2.2.yaml and my training script https://github.com/Bismuth209/AnimateAnyone-unofficial/blob/main/train.py

guoqincode commented 8 months ago

I'm sorry, I've never seen this before. I feel very awkward...

Bismuth209 commented 8 months ago

I'm sorry but I'm not sure what you mean by "this"